Our Take
Procurement leaders are rejecting AI layered on broken processes; they want systems integrated first, automation second—a maturity demand that most organizations cannot yet meet.
Why it matters
Direct materials represent the largest spend and risk surface for automotive, industrial, and aerospace firms. Until sourcing data flows end-to-end from product design through execution, AI becomes noise amplification, not decision support.
Do this week
Procurement heads: audit handoff points between product development, sourcing, contracting, and execution this quarter so you can identify where manual reconciliation is blocking AI readiness.
The bottleneck is not sourcing events, it's the gaps between them
SAP convened senior procurement leaders from automotive, industrial manufacturing, aerospace, and defense at its annual Direct Procurement Customer Roundtable in Walldorf. The companies attending manage complex product portfolios and sprawling supply networks where direct materials represent their largest spend and risk surface.
The conversation was candid. Customers described a structural tension: sourcing decisions are being pulled upstream into product design and development, but tools and processes remain anchored downstream. Engineers, buyers, and suppliers still collaborate via email, local tools, and disconnected applications. Multiple ERP landscapes run in parallel, with direct sourcing living largely outside them. One participant noted the real friction is not the sourcing events themselves but the handoffs—the gaps between systems and teams where decisions get made too late, data is reconciled manually, and no single digital thread connects product intent to sourcing execution.
Participants also flagged that traditional indirect source-to-pay approaches lack native support for direct materials. They do not handle procurement embedded in new product development, sourcing scenarios that evolve with engineering change, or contracts treated as executable objects rather than static documents.
Institutional knowledge is retiring faster than systems modernize
Geopolitical instability and accelerating technological change are forcing sourcing decisions earlier in the product lifecycle. At the same time, experienced procurement professionals are leaving organizations faster than digital replacements are ready. The result is an operating model where procurement leaders cannot influence value at the moments that matter most. Commodity volatility and contract renegotiations are no longer one-time events but structural challenges that require systematic handling, not heroic intervention from a few key individuals.
Customers are shifting focus toward three priorities: moving sourcing upstream into product development rather than reacting after design is locked; reducing dependency on "hero buyers" whose expertise and relationships hold critical processes together; and managing multi-year SAP S/4HANA transformations without stalling progress.
AI only matters once the fundamentals are addressed
Procurement leaders expressed measured expectations for AI. The consistent message: AI depends on clean processes and consistent data. Without a unified digital thread across product design, sourcing, contracting, and execution, AI does not generate insight—it amplifies noise.
Participants also rejected black-box automation. They want explainable AI embedded directly into sourcing, negotiation, and execution workflows, not layered on top of broken processes. One customer summarized the requirement clearly: agent-based capabilities cannot operate accurately, compliantly, or at scale until that connection exists between product, sourcing, contracts, and execution.
SAP is addressing this gap with the SAP Ariba direct materials sourcing add-on alongside SAP Ariba Procurement Planning, SAP Integrated Product Development, and SAP Business Network. These tools together enable the connected execution model direct procurement actually requires. The direction is clear for participating organizations; the challenge lies in execution speed and the ability to move from fragmented, person-dependent processes to cohesive models that reflect how modern direct procurement operates.